Detection and Characterization of Coordinated Online Behavior: A Survey
Abstract
Coordination is a fundamental aspect of life. The advent of social media has made it integral also to online human interactions, such as those that characterize thriving online communities and social movements. At the same time, coordination is also core to effective disinformation, manipulation, and hate campaigns. This survey collects, categorizes, and critically discusses the body of work produced as a result of the growing interest on coordinated online behavior. We reconcile industry and academic definitions, propose a comprehensive framework to study coordinated online behavior, and review and critically discuss the existing detection and characterization methods. Our analysis identifies open challenges and promising directions of research, serving as a guide for scholars, practitioners, and policymakers in understanding and addressing the complexities inherent to online coordination.
- Publication:
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arXiv e-prints
- Pub Date:
- August 2024
- DOI:
- 10.48550/arXiv.2408.01257
- arXiv:
- arXiv:2408.01257
- Bibcode:
- 2024arXiv240801257M
- Keywords:
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- Computer Science - Social and Information Networks;
- Computer Science - Artificial Intelligence;
- Computer Science - Computers and Society;
- Computer Science - Human-Computer Interaction;
- Computer Science - Machine Learning